Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 45-63 |
Gender | Female, 50% |
Surprised | 45.2% |
Sad | 50.2% |
Disgusted | 45.2% |
Happy | 45.6% |
Confused | 45.2% |
Calm | 47.9% |
Angry | 45.7% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 51.1% |
Calm | 45.5% |
Disgusted | 45.6% |
Surprised | 45.4% |
Angry | 45.3% |
Sad | 52.6% |
Confused | 45.3% |
Happy | 45.3% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 50.4% |
Angry | 49.6% |
Calm | 49.8% |
Confused | 49.6% |
Happy | 49.6% |
Sad | 49.8% |
Disgusted | 49.6% |
Surprised | 49.6% |
Feature analysis
Amazon
Person | 99.5% | |
Captions
Microsoft
a vintage photo of a person | 52.3% | |
a vintage photo of a machine | 45% | |
a vintage photo of a store | 44.9% | |